Classification of Masses in Digital Mammograms Using the Genetic Ensemble Method

Classification of Masses in Digital Mammograms Using the Genetic Ensemble Method

All over the world, breast cancer is the second leading cause of death in women above 40 years of age. To design an efficient classification system for breast cancer diagnosis, one has to use efficient algorithms for feature selection to reduce the feature space of mammogram classification. The curr...

Full description

Bibliographic Details
Main Authors: Thawkar Shankar, Ingolikar Ranjana
Format: Article
Language:English
Published: De Gruyter 2018-07-01
Series:Journal of Intelligent Systems
Subjects:
digital mammography
decision tree
feature selection
classification
genetic algorithm
ensembles
adaboost
random forest
receiver operating characteristics curve
Online Access:https://doi.org/10.1515/jisys-2018-0091

Internet

https://doi.org/10.1515/jisys-2018-0091

Similar Items